中文核心期刊
CSCD来源期刊
中国科技核心期刊
RCCSE中国核心学术期刊

Journal of Chongqing Jiaotong University(Natural Science) ›› 2016, Vol. 35 ›› Issue (2): 110-113.DOI: 10.3969/j.issn.1674-0696.2016.02.23

• Traffic & Transportation Engineering • Previous Articles     Next Articles

Study of the Traffic Network Efficiency Based on Individual Traveler’s Behavior

SUN Qiuxia1, SUN Lu1,LIU Xinmin2   

  1. (1.College of Mathematics and Systems Science, Shandong University of Science and Technology, Qingdao 266590, Shandong, P. R. China; 2. College of Economics and Management, Shandong University of Science and Technology, Qingdao 266590, Shandong, P. R. China)
  • Received:2014-09-04 Revised:2014-11-30 Online:2016-04-25 Published:2016-04-25

基于出行个体行为的交通网络效率研究

孙秋霞1,孙 璐1,刘新民2   

  1. (1.山东科技大学 数学与系统科学学院,山东 青岛 266590;2.山东科技大学 经济管理学院,山东 青岛 266590)
  • 作者简介:孙秋霞(1976—),女,山东济宁人,副教授,博士,主要从事交通系统工程方面的研究。E-mail:qiuxiasun@163.com。
  • 基金资助:
    中国博士后科学基金项目(2013M531634);山东省科技发展计划项目(2013GSF12203)

Abstract: The impact of the individual traveler’s micro behavior on the macro characteristics of the transportation network. was discassed. The traveller types and their route selection rule were redesigned according to different traffic information received by them. The impact rate of individual traveller’s action on traffic network efficiency was simulated by considering traffic network evaluation model including such factors as need for transport, time and cost .The simulation results show: the timely supply of traffic information and traveller’s learning ability of traffic information can overall improve the running efficiency of road network. Of similar travelling scale, the traveller with learning behavior causes minor influence to the traffic network efficiency which is stable. In case of sufficient traffic information supplied, the number of information learned travellers is influenced by the capacity of road network.

Key words: traffic engineering, individual behavior, network efficiency, system simulation

摘要: 为有效反映城市道路网络中出行者的个体微观行为对网络宏观特征的影响,根据出行个体对交通信息的接受情况不同对出行者的类型、及其路径选择规则进行重新设计,结合兼顾考虑交通需求、时间费用和交通流量的交通网络效率评价模型,利用仿真技术,模拟出行者个体行为对交通网络效率的影响。仿真结果显示:交通信息的及时供给和出行者对交通信息的学习能力,整体上会有效提升路网的运行效率;在相同出行规模情形下,具有学习行为的出行者交通网络效率稳定且波动小;在交通信息供给充分的条件下,信息学习出行者的规模受到路网的承载能力的影响。

关键词: 交通工程, 个体行为, 网络效率, 系统仿真

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